Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes.
Shaheer U. SaeedZeike A. TaylorMark A. PinnockMark EmbertonDean C. BarrattYipeng HuPublished in: CoRR (2020)
Keyphrases
- neural network
- multilayer perceptron
- trained neural networks
- training process
- motion analysis
- auto associative
- motion model
- multi layer perceptron
- artificial neural networks
- camera motion
- optical flow
- space time
- directed graph
- image sequences
- motion field
- human motion
- prostate cancer
- motion estimation
- trained neural network
- motion tracking
- genetic algorithm
- structured data
- computer vision
- graph structure
- neural network model
- semi structured
- shortest path
- fuzzy logic
- training set
- recurrent neural networks
- feed forward
- humanoid robot
- backpropagation algorithm